Relaciones entre componentes morfológicos de palmito y atributos físicos de un inceptisol: una aproximación multivariada

IF 0.2 Q4 AGRICULTURE, MULTIDISCIPLINARY
Diego Alexander Aguilera-Esteban, Elizeu de Souza-Lima, Lenon Henrique-Lovera, Rafael Montanari, A. R. Panosso
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引用次数: 2

Abstract

The study of the soil´s agricultural potential from a multivariate approach can help to interpreter the interactions between its attributes and crop yield components. The aim of this study was to evaluate the relationships between the soil´s physical attributes and morphological components of the heart palm in an Inceptisol Eutric in the city of Registro (Sao Paulo, Brazil) using multivariate analyses. The experiment was carried in the crop year 2013/2014 for a crop that was implanted in the year 2012, where yield components of heart palm and the soil´s physical attributes were analyzed at a depth of -0.10 m, using a grid with 54 georeferenced points. Three multivariate methods were used: hierarchical clustering, non-hierarchical clustering (k-means) and principal components analysis (pca). The k-means analysis showed larger heart palm stem diameter values in the group of points with higher mechanical resistance to penetration values, and lower gravimetric soil moisture values. The PCA showed that the first two principal components (CP1 and CP2) explained 68.29 % of the variations of the original data set, where soil density and total porosity showed the largest discriminatory power in CP1, and only stem diameter showed significant discriminatory power in PC2. Multivariate statistics was efficient in the discrimination of the physical variables of the soil studied that have a greater relationship with the morphological components of the heart palm plant.
棕榈心形态成分与inceptisol物理属性的关系:多元方法
从多变量方法研究土壤的农业潜力有助于解释其属性与作物产量成分之间的相互作用。本研究的目的是利用多变量分析评估巴西雷吉斯特罗市Inceptisol Eutric土壤物理属性与心掌形态成分之间的关系。实验于2013/2014年对2012年种植的一种作物进行,采用54个地理参考点的网格,在-0.10 m深度分析心棕榈的产量组成和土壤的物理属性。采用三种多元分析方法:层次聚类、非层次聚类(k-means)和主成分分析(pca)。k-means分析表明,在机械抗渗透值较高的点组,心棕榈茎直径值较大,土壤重力湿度值较低。主成分分析表明,前两个主成分(CP1和CP2)解释了原始数据集68.29%的变异,其中土壤密度和总孔隙度在CP1中表现出最大的区别力,只有茎粗在PC2中表现出显著的区别力。多元统计对土壤中与心棕榈植物形态成分有较大关系的物理变量的判别是有效的。
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来源期刊
Revista Corpoica-Ciencia y Tecnologia Agropecuaria
Revista Corpoica-Ciencia y Tecnologia Agropecuaria AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
0.90
自引率
0.00%
发文量
44
审稿时长
12 weeks
期刊介绍: The journal Ciencia y Tecnología Agropecuaria (Science and Agricultural Technology) is a four-monthly scientific publication edited since October 1996 by the Corporación Colombiana de Investigación Agropecuaria - Agrosavia. The journal publishes articles on diverse thematic areas typical of the agricultural sector (multidisciplinary), written in Spanish or English, especially from Latin American and Caribbean researchers. The contributions that apply for the journal must be original and unpublished. The articles are reviewed by national and international peers (peer review). The journal is non-commercial and open access, this means that it doesn’t charge for the reception and/or publication of articles in both, its printed and digital version. The journal is aimed at the scientific community of the agricultural sector in Latin America and the Caribbean.
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